@String(PAMI = {IEEE Transactions on Pattern Analysis and Machine Intelligence})
@String(IJCV = {International Journal of Computer Vision})
@String(CVPR = {IEEE Conference on Computer Vision and Pattern Recognition})
@String(ICCV = {International Conference on Computer Vision})
@String(ECCV = {European Conference on Computer Vision})
@String(NeurIPS = {Advances in Neural Information Processing Systems})
@String(ICPR = {International Conference on Pattern Recognition})
@String(BMVC = {British Machine Vision Conference})
@String(TOG = {ACM Transactions on Graphics})
@String(TIP = {IEEE Transactions on Image Processing})
@String(TVCG = {IEEE Transactions on Visualization and Computer Graphics})
@String(TMM = {IEEE Transactions on Multimedia})
@String(ACMMM = {ACM International Conference on Multimedia})
@String(ICME = {International Conference on Multimedia and Expo})
@String(ICASSP = {International Conference on Acoustics, Speech, and Signal Processing})
@String(ICIP = {IEEE International Conference on Image Processing})
@String(ACCV = {Asian Conference on Computer Vision})
@String(ICLR = {International Conference on Learning Representations})
@String(ICML = {International Conference on Machine Learning})
@String(IJCAI = {International Joint Conference on Artificial Intelligence})
@String(PR = {Pattern Recognition})
@String(AAAI = {Association for the Advancement of Artificial Intelligence})
@String(CVPRW = {IEEE Conference on Computer Vision and Pattern Recognition Workshops})
@String(ICCVW = {International Conference on Computer Vision Workshops})
@String(ECCVW = {European Conference on Computer Vision Workshops})
@String(CSVT = {IEEE Transactions on Circuits and Systems for Video Technology})
@String(SPL = {IEEE Signal Processing Letters})
@String(VR = {Vision Research})
@String(JOV = {Journal of Vision})
@String(TVC = {The Visual Computer})
@String(JCST = {Journal of Computer Science and Technology})
@String(CGF = {Computer Graphics Forum})
@String(CVM = {Computational Visual Media})

%% @String(PAMI  = {IEEE TPAMI})
%% @String(IJCV  = {IJCV})
%% @String(CVPR  = {CVPR})
%% @String(ICCV  = {ICCV})
%% @String(ECCV  = {ECCV})
%% @String(NIPS  = {NeurIPS})
%% @String(NeurIPS  = {NeurIPS})
%% @String(ICPR  = {ICPR})
%% @String(BMVC  =	{BMVC})
%% @String(TOG   = {ACM TOG})
%% @String(TIP   = {IEEE TIP})
%% @String(TVCG  = {IEEE TVCG})
%% @String(TCSVT = {IEEE TCSVT})
%% @String(TMM   =	{IEEE TMM})
%% @String(ACMMM = {ACM MM})
%% @String(ICME  =	{ICME})
%% @String(ICASSP=	{ICASSP})
%% @String(ICIP  = {ICIP})
%% @String(ACCV  = {ACCV})
%% @String(ICLR  = {ICLR})
%% @String(IJCAI = {IJCAI})
%% @String(PR = {PR})
%% @String(AAAI = {AAAI})
%% @String(CVPRW= {CVPRW})
%% @String(ICCVW= {ICCVW})
%% @String(ECCVW= {ECCVW})
%% @String(CSVT = {IEEE TCSVT})



%% Ln 65: ================== Traditional IQA metrics =========================

@article{ssim2004,
  title={Image quality assessment: from error visibility to structural similarity},
  author={Wang, Zhou and Bovik, Alan C and Sheikh, Hamid R and Simoncelli, Eero P},
  journal={IEEE transactions on image processing},
  volume={13},
  number={4},
  pages={600--612},
  year={2004},
  publisher={IEEE}
}

@inproceedings{msssim2003,
  title={Multiscale structural similarity for image quality assessment},
  author={Wang, Zhou and Simoncelli, Eero P and Bovik, Alan C},
  booktitle={The Thrity-Seventh Asilomar Conference on Signals, Systems \& Computers, 2003},
  volume={2},
  pages={1398--1402},
  year={2003},
  organization={Ieee}
}

@article{cwssim2009,
  title={Complex wavelet structural similarity: A new image similarity index},
  author={Sampat, Mehul P and Wang, Zhou and Gupta, Shalini and Bovik, Alan Conrad and Markey, Mia K},
  journal={IEEE transactions on image processing},
  volume={18},
  number={11},
  pages={2385--2401},
  year={2009},
  publisher={IEEE}
}

@article{zhang2011fsim,
  title={FSIM: A feature similarity index for image quality assessment},
  author={Zhang, Lin and Zhang, Lei and Mou, Xuanqin and Zhang, David},
  journal={IEEE transactions on Image Processing},
  volume={20},
  number={8},
  pages={2378--2386},
  year={2011},
  publisher={IEEE}
}

@article{zhang2014vsi,
  title={VSI: A visual saliency-induced index for perceptual image quality assessment},
  author={Zhang, Lin and Shen, Ying and Li, Hongyu},
  journal={IEEE Transactions on Image processing},
  volume={23},
  number={10},
  pages={4270--4281},
  year={2014},
  publisher={IEEE}
}

@article{larson2010mad,
  title={Most apparent distortion: full-reference image quality assessment and the role of strategy},
  author={Larson, Eric Cooper and Chandler, Damon Michael},
  journal={Journal of electronic imaging},
  volume={19},
  number={1},
  pages={011006},
  year={2010},
  publisher={SPIE}
}

@article{sheikh2006vif,
  title={Image information and visual quality},
  author={Sheikh, Hamid R and Bovik, Alan C},
  journal={IEEE Transactions on image processing},
  volume={15},
  number={2},
  pages={430--444},
  year={2006},
  publisher={IEEE}
}

@article{xue2013gmsd,
  title={Gradient magnitude similarity deviation: A highly efficient perceptual image quality index},
  author={Xue, Wufeng and Zhang, Lei and Mou, Xuanqin and Bovik, Alan C},
  journal={IEEE transactions on image processing},
  volume={23},
  number={2},
  pages={684--695},
  year={2013},
  publisher={IEEE}
}

@article{laparra2016nlpd,
  title={Perceptual image quality assessment using a normalized Laplacian pyramid},
  author={Laparra, Valero and Ball{\'e}, Johannes and Berardino, Alexander and Simoncelli, Eero P},
  journal={Electronic Imaging},
  volume={2016},
  number={16},
  pages={1--6},
  year={2016},
  publisher={Society for Imaging Science and Technology}
}

@article{2012niqe,
  title={Making a “completely blind” image quality analyzer},
  author={Mittal, Anish and Soundararajan, Rajiv and Bovik, Alan C},
  journal=SPL,
  volume={20},
  number={3},
  pages={209--212},
  year={2012},
  publisher={IEEE}
}

@article{2012brisque,
  title={No-reference image quality assessment in the spatial domain},
  author={Mittal, Anish and Moorthy, Anush Krishna and Bovik, Alan Conrad},
  journal={IEEE Transactions on image processing},
  volume={21},
  number={12},
  pages={4695--4708},
  year={2012},
  publisher={IEEE}
}

@article{moorthy2011nssdiivine,
  title={Blind image quality assessment: From natural scene statistics to perceptual quality},
  author={Moorthy, Anush Krishna and Bovik, Alan Conrad},
  journal={IEEE transactions on Image Processing},
  volume={20},
  number={12},
  pages={3350--3364},
  year={2011},
  publisher={IEEE}
}

@article{zhang2015ilniqe,
  title={A feature-enriched completely blind image quality evaluator},
  author={Zhang, Lin and Zhang, Lei and Bovik, Alan C},
  journal={IEEE Transactions on Image Processing},
  volume={24},
  number={8},
  pages={2579--2591},
  year={2015},
  publisher={IEEE}
}

@article{ma2017nrqm,
  title={Learning a no-reference quality metric for single-image super-resolution},
  author={Ma, Chao and Yang, Chih-Yuan and Yang, Xiaokang and Yang, Ming-Hsuan},
  journal={Computer Vision and Image Understanding},
  volume={158},
  pages={1--16},
  year={2017},
  publisher={Elsevier}
}

@inproceedings{blau2018pi,
  title={The 2018 PIRM challenge on perceptual image super-resolution},
  author={Blau, Yochai and Mechrez, Roey and Timofte, Radu and Michaeli, Tomer and Zelnik-Manor, Lihi},
  booktitle={Proceedings of the European Conference on Computer Vision (ECCV) Workshops},
  pages={0--0},
  year={2018}
}

%% ================== Datasets =========================
@inproceedings{fang2020spaq,
    title={Perceptual Quality Assessment of Smartphone Photography},
    author={Fang, Yuming and Zhu, Hanwei and Zeng, Yan and Ma, Kede and Wang, Zhou},
    booktitle=CVPR,
    pages={3677-3686},
    year={2020}
}

@InProceedings{Prashnani_2018_PieAPP,
    author = {Prashnani, Ekta and Cai, Hong and Mostofi, Yasamin and Sen, Pradeep},
    title = {PieAPP: Perceptual Image-Error Assessment Through Pairwise Preference},
    booktitle = CVPR, 
    month = {June},
    year = {2018}
}

@article{koniq10k,
    author={V. {Hosu} and H. {Lin} and T. {Sziranyi} and D. {Saupe}},
    journal={IEEE Transactions on Image Processing},
    title={KonIQ-10k: An Ecologically Valid Database for Deep Learning of Blind Image Quality Assessment},
    year={2020},
    volume={29},
    pages={4041-4056}
}

@article{ghadiyaram2015massive,
  title={Massive online crowdsourced study of subjective and objective picture quality},
  author={Ghadiyaram, Deepti and Bovik, Alan C},
  journal=TIP,
  volume={25},
  number={1},
  pages={372--387},
  year={2015},
  publisher={IEEE}
}

@article{ma2017waterloo,
	author    = {Ma, Kede and Duanmu, Zhengfang and Wu, Qingbo and Wang, Zhou and Yong, Hongwei and Li, Hongliang and Zhang, Lei}, 
	title     = {{Waterloo Exploration Database}: New Challenges for Image Quality Assessment Models}, 
	journal   = TIP, 
	volume    = {26},
	number    = {2},
	pages     = {1004--1016},
	month	  = {Feb.},
	year      = {2017}
}

@inproceedings{kadid10k,
  title={KADID-10k: A Large-scale Artificially Distorted IQA Database},
  author={Lin, Hanhe and Hosu, Vlad and Saupe, Dietmar},
  booktitle={2019 Tenth International Conference on 
  Quality of Multimedia Experience (QoMEX)},
  pages={1--3},
  year={2019},
  organization={IEEE}
}

@article{sun2017mdid,
  title={MDID: A multiply distorted image database for image quality assessment},
  author={Sun, Wen and Zhou, Fei and Liao, Qingmin},
  journal={Pattern Recognition},
  volume={61},
  pages={153--168},
  year={2017},
  publisher={Elsevier}
}

@inproceedings{ponomarenko2013tid2013,
  title={Color image database TID2013: Peculiarities and preliminary results},
  author={Ponomarenko, Nikolay and Ieremeiev, Oleg and Lukin, Vladimir and Egiazarian, Karen and Jin, Lina and Astola, Jaakko and Vozel, Benoit and Chehdi, Kacem and Carli, Marco and Battisti, Federica and others},
  booktitle={european workshop on visual information processing (EUVIP)},
  pages={106--111},
  year={2013},
  organization={IEEE}
}

@article{larson2010csiq,
  title={Most apparent distortion: full-reference image quality assessment and the role of strategy},
  author={Larson, Eric Cooper and Chandler, Damon Michael},
  journal={Journal of electronic imaging},
  volume={19},
  number={1},
  pages={011006},
  year={2010},
  publisher={International Society for Optics and Photonics}
}

@article{ponomarenko2009tid2008,
  title={TID2008-a database for evaluation of full-reference visual quality assessment metrics},
  author={Ponomarenko, Nikolay and Lukin, Vladimir and Zelensky, Alexander and Egiazarian, Karen and Carli, Marco and Battisti, Federica},
  journal={Advances of Modern Radioelectronics},
  volume={10},
  number={4},
  pages={30--45},
  year={2009}
}

@article{sheikh2006liveiqa,
  title={A statistical evaluation of recent full reference image quality assessment algorithms},
  author={Sheikh, Hamid R and Sabir, Muhammad F and Bovik, Alan C},
  journal=TIP,
  volume={15},
  number={11},
  pages={3440--3451},
  year={2006},
  publisher={IEEE}
}

@inproceedings{murray2012ava,
  title={AVA: A large-scale database for aesthetic visual analysis},
  author={Murray, Naila and Marchesotti, Luca and Perronnin, Florent},
  booktitle=CVPR,
  pages={2408--2415},
  year={2012},
}

@InProceedings{pipal,
  author = {Gu, Jinjin and Haoming, Cai and Haoyu, Chen and Xiaoxing, Ye and Jimmy, Ren and Chao, Dong},
  title = {PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual image Restoration},
  booktitle = ECCV,
  year = {2020},
  publisher = {Springer International Publishing},
  pages = {633--651},
}

@article{livechallenge,
  title={Massive online crowdsourced study of subjective and objective picture quality},
  author={Ghadiyaram, Deepti and Bovik, Alan C},
  journal={IEEE Transactions on Image Processing},
  volume={25},
  number={1},
  pages={372--387},
  year={2015},
  publisher={IEEE}
}

@article{flivepaq2piq,
  title={From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality},
  author={Ying, Zhenqi
  ang and Niu, Haoran and Gupta, Praful and Mahajan, Dhruv and Ghadiyaram, Deepti and Bovik, Alan},
  journal={arXiv preprint arXiv:1912.10088},
  year={2019}
}

%% ================== Deep learning approaches =========================

@inproceedings{lao2022ahiq,
  title={Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment Network},
  author={Lao, Shanshan and Gong, Yuan and Shi, Shuwei and Yang, Sidi and Wu, Tianhe and Wang, Jiahao and Xia, Weihao and Yang, Yujiu},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={1140--1149},
  year={2022}
}


@inproceedings{cheon2021iqt,
  title={Perceptual image quality assessment with transformers},
  author={Cheon, Manri and Yoon, Sung-Jun and Kang, Byungyeon and Lee, Junwoo},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={433--442},
  year={2021}
}


@inproceedings{kim2017deepqa,
  title={Deep learning of human visual sensitivity in image quality assessment framework},
  author={Kim, Jongyoo and Lee, Sanghoon},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={1676--1684},
  year={2017}
}

@article{bosse2017wadiqam,
  title={Deep neural networks for no-reference and full-reference image quality assessment},
  author={Bosse, Sebastian and Maniry, Dominique and M{\"u}ller, Klaus-Robert and Wiegand, Thomas and Samek, Wojciech},
  journal={IEEE Transactions on image processing},
  volume={27},
  number={1},
  pages={206--219},
  year={2017},
  publisher={IEEE}
}

@article{talebi2018nima,
  title={NIMA: Neural image assessment},
  author={Talebi, Hossein and Milanfar, Peyman},
  journal={IEEE transactions on image processing},
  volume={27},
  number={8},
  pages={3998--4011},
  year={2018},
  publisher={IEEE}
}

@inproceedings{ke2021musiq,
  title={MUSIQ: Multi-scale Image Quality Transformer},
  author={Ke, Junjie and Wang, Qifei and Wang, Yilin and Milanfar, Peyman and Yang, Feng},
  booktitle=ICCV,
  pages={5148--5157},
  year={2021}
}


@inproceedings{zhang2018lpips,
  title={The Unreasonable Effectiveness of Deep Features as a Perceptual Metric},
  author={Zhang, Richard and Isola, Phillip and Efros, Alexei A and Shechtman, Eli and Wang, Oliver},
  booktitle={CVPR},
  year={2018}
}

@inproceedings{gu2021ntire,
  title={NTIRE 2021 challenge on perceptual image quality assessment},
  author={Gu, Jinjin and Cai, Haoming and Dong, Chao and Ren, Jimmy S and Qiao, Yu and Gu, Shuhang and Timofte, Radu},
  booktitle=CVPRW,
  pages={677--690},
  year={2021}
}

@inproceedings{gu2022ntire,
  title={NTIRE 2022 challenge on perceptual image quality assessment},
  author={Gu, Jinjin and Cai, Haoming and Dong, Chao and Ren, Jimmy S and Timofte, Radu and Gong, Yuan and Lao, Shanshan and Shi, Shuwei and Wang, Jiahao and Yang, Sidi and others},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={951--967},
  year={2022}
}

@inproceedings{tres2022wacv,
  title={No-reference image quality assessment via transformers, relative ranking, and self-consistency},
  author={Golestaneh, S Alireza and Dadsetan, Saba and Kitani, Kris M},
  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
  pages={1220--1230},
  year={2022}
}

@inproceedings{norminnorm2022,
  title={Norm-in-norm loss with faster convergence and better performance for image quality assessment},
  author={Li, Dingquan and Jiang, Tingting and Jiang, Ming},
  booktitle={Proceedings of the 28th ACM International Conference on Multimedia},
  pages={789--797},
  year={2020}
}

@inproceedings{mlspf2019,
  title={Effective aesthetics prediction with multi-level spatially pooled features},
  author={Hosu, Vlad and Goldlucke, Bastian and Saupe, Dietmar},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={9375--9383},
  year={2019}
}

@article{dists2020,
  title={Image quality assessment: Unifying structure and texture similarity},
  author={Ding, Keyan and Ma, Kede and Wang, Shiqi and Simoncelli, Eero P},
  journal={IEEE transactions on pattern analysis and machine intelligence},
  year={2020},
  publisher={IEEE}
}

@article{vaswani2017attention,
  title={Attention is all you need},
  author={Vaswani, Ashish and Shazeer, Noam and Parmar, Niki and Uszkoreit, Jakob and Jones, Llion and Gomez, Aidan N and Kaiser, {\L}ukasz and Polosukhin, Illia},
  journal={Advances in neural information processing systems},
  volume={30},
  year={2017}
}

@inproceedings{resnet2016,
  title={Deep residual learning for image recognition},
  author={He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={770--778},
  year={2016}
}

@article{wang2006modern,
  title={Modern image quality assessment},
  author={Wang, Zhou and Bovik, Alan C},
  journal={Synthesis Lectures on Image, Video, and Multimedia Processing},
  volume={2},
  number={1},
  pages={1--156},
  year={2006},
  publisher={Morgan \& Claypool Publishers}
}


@inproceedings{kang2014cnniqa,
  title={Convolutional neural networks for no-reference image quality assessment},
  author={Kang, Le and Ye, Peng and Li, Yi and Doermann, David},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={1733--1740},
  year={2014}
}


@inproceedings{liu2017rankiqa,
  title={Rankiqa: Learning from rankings for no-reference image quality assessment},
  author={Liu, Xialei and Van De Weijer, Joost and Bagdanov, Andrew D},
  booktitle={Proceedings of the IEEE international conference on computer vision},
  pages={1040--1049},
  year={2017}
}

@inproceedings{kwanyee2018hiqa,
 author = {Lin, Kwan-Yee and Wang, Guangxiang},
 title = {Hallucinated-IQA: No-reference Image Quality Assessment via Adversarial Learning},
 booktitle = {CVPR},
 year = {2018}
} 

@inproceedings{zeng2018pqr,
  title={Blind image quality assessment with a probabilistic quality representation},
  author={Zeng, Hui and Zhang, Lei and Bovik, Alan C},
  booktitle={2018 25th IEEE International Conference on Image Processing (ICIP)},
  pages={609--613},
  year={2018},
  organization={IEEE}
}

@inproceedings{zhu2020metaiqa,
  title={MetaIQA: Deep meta-learning for no-reference image quality assessment},
  author={Zhu, Hancheng and Li, Leida and Wu, Jinjian and Dong, Weisheng and Shi, Guangming},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={14143--14152},
  year={2020}
}

@article{ma2017meon,
  title={End-to-end blind image quality assessment using deep neural networks},
  author={Ma, Kede and Liu, Wentao and Zhang, Kai and Duanmu, Zhengfang and Wang, Zhou and Zuo, Wangmeng},
  journal={IEEE Transactions on Image Processing},
  volume={27},
  number={3},
  pages={1202--1213},
  year={2017},
  publisher={IEEE}
}

@InProceedings{hyperiqa,
author = {Su, Shaolin and Yan, Qingsen and Zhu, Yu and Zhang, Cheng and Ge, Xin and Sun, Jinqiu and Zhang, Yanning},
title = {Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}

@article{2020dbcnn,
title={Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network},
author={Zhang, Weixia and Ma, Kede and Yan, Jia and Deng, Dexiang and Wang, Zhou},
journal={IEEE Transactions on Circuits and Systems for Video Technology},
volume={30},
number={1},
pages={36--47},
year={2020}
}

@inproceedings{tiqa2021,
  title={Transformer for image quality assessment},
  author={You, Junyong and Korhonen, Jari},
  booktitle={2021 IEEE International Conference on Image Processing (ICIP)},
  pages={1389--1393},
  year={2021},
  organization={IEEE}
}

@inproceedings{yang2022maniqa,
  title={MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment},
  author={Yang, Sidi and Wu, Tianhe and Shi, Shuwei and Lao, Shanshan and Gong, Yuan and Cao, Mingdeng and Wang, Jiahao and Yang, Yujiu},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={1191--1200},
  year={2022}
}

@article{zheng2021ckdn,
  title={Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment},
  author={Zheng, Heliang and Fu, Jianlong and Zeng, Yanhong and Zha, Zheng-Jun and Luo, Jiebo},
  journal={ICCV},
  year={2021}
}

@article{gatedconv,
  title={Free-Form Image Inpainting with Gated Convolution},
  author={Yu, Jiahui and Lin, Zhe and Yang, Jimei and Shen, Xiaohui and Lu, Xin and Huang, Thomas S},
  journal={arXiv preprint arXiv:1806.03589},
  year={2018}
}

@INPROCEEDINGS{imagenet,  
    author={Deng, Jia and Dong, Wei and Socher, Richard and Li, Li-Jia and Kai Li and Li Fei-Fei},  
    booktitle={2009 IEEE Conference on Computer Vision and Pattern Recognition},   
    title={ImageNet: A large-scale hierarchical image database},   year={2009},  
    volume={},  
    number={},  
    pages={248-255},  
    doi={10.1109/CVPR.2009.5206848}
}

@article{seo2020jndsalsar,
  title={A novel just-noticeable-difference-based saliency-channel attention residual network for full-reference image quality predictions},
  author={Seo, Soomin and Ki, Sehwan and Kim, Munchurl},
  journal={IEEE Transactions on Circuits and Systems for Video Technology},
  volume={31},
  number={7},
  pages={2602--2616},
  year={2020},
  publisher={IEEE}
}

@article{hou2022kd,
  title={Distilling Knowledge from Object Classification to Aesthetics Assessment},
  author={Hou, Jingwen and Ding, Henghui and Lin, Weisi and Liu, Weide and Fang, Yuming},
  journal={arXiv preprint arXiv:2206.00809},
  year={2022}
}

@article{jia2022themeaware,
  title={Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs},
  author={Jia, Gengyun and Li, Peipei and He, Ran},
  journal={IEEE Transactions on Neural Networks and Learning Systems},
  year={2022},
  publisher={IEEE}
}

@inproceedings{liu2021swin,
  title={Swin transformer: Hierarchical vision transformer using shifted windows},
  author={Liu, Ze and Lin, Yutong and Cao, Yue and Hu, Han and Wei, Yixuan and Zhang, Zheng and Lin, Stephen and Guo, Baining},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={10012--10022},
  year={2021}
}

@InProceedings{iclr15vgg,
  author       = "Karen Simonyan and Andrew Zisserman",
  title        = "Very Deep Convolutional Networks for Large-Scale Image Recognition",
  booktitle    = "International Conference on Learning Representations",
  year         = "2015",
}

@article{bradley1952rank,
  title={Rank analysis of incomplete block designs: I. The method of paired comparisons},
  author={Bradley, Ralph Allan and Terry, Milton E},
  journal={Biometrika},
  volume={39},
  number={3/4},
  pages={324--345},
  year={1952},
  publisher={JSTOR}
}

@inproceedings{szegedy2017inception,
  title={Inception-v4, inception-resnet and the impact of residual connections on learning},
  author={Szegedy, Christian and Ioffe, Sergey and Vanhoucke, Vincent and Alemi, Alexander A},
  booktitle={Thirty-first AAAI conference on artificial intelligence},
  year={2017}
}

@inproceedings{zheng2020cross,
  title={Cross-domain object detection through coarse-to-fine feature adaptation},
  author={Zheng, Yangtao and Huang, Di and Liu, Songtao and Wang, Yunhong},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={13766--13775},
  year={2020}
}

@article{jing2019coarse,
  title={Coarse-to-fine semantic segmentation from image-level labels},
  author={Jing, Longlong and Chen, Yucheng and Tian, Yingli},
  journal={IEEE Transactions on Image Processing},
  volume={29},
  pages={225--236},
  year={2019},
  publisher={IEEE}
}

@article{sun2022graphiqa,
  title={Graphiqa: Learning distortion graph representations for blind image quality assessment},
  author={Sun, Simen and Yu, Tao and Xu, Jiahua and Zhou, Wei and Chen, Zhibo},
  journal={IEEE Transactions on Multimedia},
  year={2022},
  publisher={IEEE}
}

@article{zhou2022quality,
  title={Quality Assessment of Image Super-Resolution: Balancing Deterministic and Statistical Fidelity},
  author={Zhou, Wei and Wang, Zhou},
  journal={arXiv preprint arXiv:2207.08689},
  year={2022}
}

@inproceedings{wang2021troubleshooting,
  title={Troubleshooting blind image quality models in the wild},
  author={Wang, Zhihua and Wang, Haotao and Chen, Tianlong and Wang, Zhangyang and Ma, Kede},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={16256--16265},
  year={2021}
}

@inproceedings{thong2022contentdiverse,
    title={Content-Diverse Comparisons improve IQA},
    author={William Thong and Jose Costa Pereira and Sarah Parisot and Ales Leonardis and Steven McDonagh},
    booktitle=BMVC,
    year={2022}
}

@inproceedings{ghildyal2022stlpips,
  title={Shift-tolerant Perceptual Similarity Metric},
  author={Ghildyal, Abhijay and Liu, Feng},
  booktitle={European Conference on Computer Vision},
  year={2022}
}

@article{zhang2022continual,
  title={Continual Learning for Blind Image Quality Assessment},
  author={Zhang, Weixia and Li, Dingquan and Ma, Chao and Zhai, Guangtao and Yang, Xiaokang and Ma, Kede},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2022}
}

@inproceedings{wang2022exploring,
    author = {Wang, Jianyi and Chan, Kelvin CK and Loy, Chen Change},
    title = {Exploring CLIP for Assessing the Look and Feel of Images},
    booktitle = {AAAI},
    year = {2023}
}

@ARTICLE{panvcrnet,
  author={Pan, Zhaoqing and Yuan, Feng and Lei, Jianjun and Fang, Yuming and Shao, Xiao and Kwong, Sam},
  journal={IEEE Transactions on Image Processing}, 
  title={VCRNet: Visual Compensation Restoration Network for No-Reference Image Quality Assessment}, 
  year={2022},
  volume={31},
  number={},
  pages={1613-1627},
  doi={10.1109/TIP.2022.3144892}
}

@inproceedings{zhao2023pretrain,
  author = {Kai Zhao and Kun Yuan and Ming Sun and Mading Li and Xing Wen},
  title = {Quality-aware Pre-trained Models for Blind Image Quality Assessment},
  booktitle = CVPR,
  year = {2023}
}

@inproceedings{zhang2023blind,
  title={Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective}, 
  author={Weixia Zhang and Guangtao Zhai and Ying Wei and Xiaokang Yang and Kede Ma},
  year={2023},
  booktitle = CVPR,
}

@inproceedings{yi2023artistic,
  title={Towards Artistic Image Aesthetics Assessment: a Large-scale Dataset and a New Method}, 
  author={Ran Yi and Haoyuan Tian and Zhihao Gu and Yu-Kun Lai and Paul L. Rosin},
  booktitle = CVPR,
  year = {2023}
}

@inproceedings{ke2023vila,
  title={VILA: Learning Image Aesthetics from User Comments with Vision-Language Pretraining}, 
  author={Junjie Ke and Keren Ye and Jiahui Yu and Yonghui Wu and Peyman Milanfar and Feng Yang},
  year={2023},
  booktitle = CVPR,
}

@inproceedings{qin2023dataefficient,
  title={Data-Efficient Image Quality Assessment with Attention-Panel Decoder}, 
  author={Guanyi Qin and Runze Hu and Yutao Liu and Xiawu Zheng and Haotian Liu and Xiu Li and Yan Zhang},
  year={2023},
  booktitle = AAAI,
}

@inproceedings{ttiqa2023,
  title={Test Time Adaptation for Blind Image Quality Assessment}, 
  author={Subhadeep Roy and Shankhanil Mitra and Soma Biswas and Rajiv Soundararajan},
  year={2023},
  booktitle = ICCV,
}

@inproceedings{wu2023hps,
  title={Better Aligning Text-to-Image Models with Human Preference}, 
  author={Xiaoshi Wu and Keqiang Sun and Feng Zhu and Rui Zhao and Hongsheng Li},
  year={2023},
  booktitle = ICCV,
}

@inproceedings{Kirstain2023PickaPicAO,
  title={Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation},
  author={Yuval Kirstain and Adam Polyak and Uriel Singer and Shahbuland Matiana and Joe Penna and Omer Levy}, booktitle=NeurIPS,
  year={2023}
}

@misc{xu2023imagereward,
      title={ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation},
      author={Jiazheng Xu and Xiao Liu and Yuchen Wu and Yuxuan Tong and Qinkai Li and Ming Ding and Jie Tang and Yuxiao Dong},
      year={2023},
      booktitle = NeurIPS,
}

@ARTICLE{agiqa3k,
  author={Li, Chunyi and Zhang, Zicheng and Wu, Haoning and Sun, Wei and Min, Xiongkuo and Liu, Xiaohong and Zhai, Guangtao and Lin, Weisi},
  journal={IEEE Transactions on Circuits and Systems for Video Technology}, 
  title={AGIQA-3K: An Open Database for AI-Generated Image Quality Assessment}, 
  year={2023},
  pages={1-1},
  doi={10.1109/TCSVT.2023.3319020}
}

@article{wu2023q,
  title={Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision},
  author={Wu, Haoning and Zhang, Zicheng and Zhang, Erli and Chen, Chaofeng and Liao, Liang and Wang, Annan and Li, Chunyi and Sun, Wenxiu and Yan, Qiong and Zhai, Guangtao and others},
  journal={arXiv preprint arXiv:2309.14181},
  year={2023}
}

@article{hu2023tifa,
  title={TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering},
  author={Hu, Yushi and Liu, Benlin and Kasai, Jungo and Wang, Yizhong and Ostendorf, Mari and Krishna, Ranjay and Smith,
  Noah A},
  journal=ICCV,
  year={2023}
}

@article{chen2022no,
  title={No-reference image quality assessment by hallucinating pristine features},
  author={Chen, Baoliang and Zhu, Lingyu and Kong, Chenqi and Zhu, Hanwei and Wang, Shiqi and Li, Zhu},
  journal={IEEE Transactions on Image Processing},
  volume={31},
  pages={6139--6151},
  year={2022},
  publisher={IEEE}
}

 @misc{agnolucci2023arniqa,
      title={ARNIQA: Learning Distortion Manifold for Image Quality Assessment}, 
      author={Lorenzo Agnolucci and Leonardo Galteri and Marco Bertini and Alberto Del Bimbo},
      year={2023},
      eprint={2310.14918},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

@article{wu2023qalign,
  title={Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels},
  author={Wu, Haoning and Zhang, Zicheng and Zhang, Weixia and Chen, Chaofeng and Li, Chunyi and Liao, Liang and Wang, Annan and Zhang, Erli and Sun, Wenxiu and Yan, Qiong and Min, Xiongkuo and Zhai, Guangtai and Lin, Weisi},
  journal=ICML,
  year={2023},
  institution={Nanyang Technological University and Shanghai Jiao Tong University and Sensetime Research},
  note={Equal Contribution by Wu, Haoning and Zhang, Zicheng. Project Lead by Wu, Haoning. Corresponding Authors: Zhai, Guangtai and Lin, Weisi.}
}

@misc{wu2023qinstruct,
      title={Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models}, 
      author={Haoning Wu and Zicheng Zhang and Erli Zhang and Chaofeng Chen and Liang Liao and Annan Wang and Kaixin Xu and Chunyi Li and Jingwen Hou and Guangtao Zhai and Geng Xue and Wenxiu Sun and Qiong Yan and Weisi Lin},
      year={2023},
      eprint={2311.06783},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

@inproceedings{depictqa,
  title={Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models},
  author={You, Zhiyuan and Li, Zheyuan and Gu, Jinjin and Yin, Zhenfei and Xue, Tianfan and Dong, Chao},
  booktitle={European Conference on Computer Vision},
  year={2024},
  eprint={2312.08962},
  archivePrefix={arXiv},
  primaryClass={cs.CV}
}

@misc{depictqawild,
  title={Descriptive Image Quality Assessment in the Wild},
  author={You, Zhiyuan and Gu, Jinjin and Li, Zheyuan and Cai, Xin and Zhu, Kaiwen and Dong, Chao and Xue, Tianfan},
  year={2024},
  eprint={2405.18842},
  archivePrefix={arXiv},
  primaryClass={cs.CV}
}

@article{chen2023topiq,
  title={TOPIQ: A Top-down Approach from Semantics to Distortions for Image Quality Assessment},
  author={Chen, Chaofeng and Mo, Jiadi and Hou, Jingwen and Wu, Haoning and Liao, Liang and Sun, Wenxiu and Yan, Qiong and Lin, Weisi},
  journal={arXiv preprint arXiv:2308.03060},
  year={2023}
}

@article{AesBench,
    title={AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception},
    author={Huang, Yipo and Yuan, Quan and Sheng, Xiangfei and Yang, Zhichao and Wu, Haoning and Chen, Pengfei and Yang, Yuzhe and Li, Leida and Lin, Weisi},
   journal={arXiv preprint arXiv:2401.08276},
    year={2024},
}

@misc{wu2024openended,
      title={Towards Open-ended Visual Quality Comparison}, 
      author={Haoning Wu and Hanwei Zhu and Zicheng Zhang and Erli Zhang and Chaofeng Chen and Liang Liao and Chunyi Li and Annan Wang and Wenxiu Sun and Qiong Yan and Xiaohong Liu and Guangtao Zhai and Shiqi Wang and Weisi Lin},
      year={2024},
      eprint={2402.16641},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

@article{xu2023local,
  title={Local Distortion Aware Efficient Transformer Adaptation for Image Quality Assessment},
  author={Xu, Kangmin and Liao, Liang and Xiao, Jing and Chen, Chaofeng and Wu, Haoning and Yan, Qiong and Lin, Weisi},
  journal={arXiv preprint arXiv:2308.12001},
  year={2023}
}

@misc{wu2024comprehensive,
      title={A Comprehensive Study of Multimodal Large Language Models for Image Quality Assessment}, 
      author={Tianhe Wu and Kede Ma and Jie Liang and Yujiu Yang and Lei Zhang},
      year={2024},
      eprint={2403.10854},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

@misc{chen2024promptiqa,
      title={PromptIQA: Boosting the Performance and Generalization for No-Reference Image Quality Assessment via Prompts}, 
      author={Zewen Chen and Haina Qin and Juan Wang and Chunfeng Yuan and Bing Li and Weiming Hu and Liang Wang},
      year={2024},
      eprint={2403.04993},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

@misc{huang2024visualcritic,
      title={VisualCritic: Making LMMs Perceive Visual Quality Like Humans}, 
      author={Zhipeng Huang and Zhizheng Zhang and Yiting Lu and Zheng-Jun Zha and Zhibo Chen and Baining Guo},
      year={2024},
      eprint={2403.12806},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

@article{agnolucci2024qualityaware,
      title={Quality-Aware Image-Text Alignment for Opinion-Unaware Image Quality Assessment}, 
      author={Agnolucci, Lorenzo and Galteri, Leonardo and Bertini, Marco},
      journal={arXiv preprint arXiv:2403.11176},
      year={2024}
}

@article{li2024bridging,
      title={Bridging the Synthetic-to-Authentic Gap: Distortion-Guided Unsupervised Domain Adaptation for Blind Image Quality Assessment}, 
      author={Aobo Li and Jinjian Wu and Yongxu Liu and Leida Li},
      year={2024},
      journal=CVPR,
}

@misc{zhu2024adaptive,
      title={Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare}, 
      author={Hanwei Zhu and Haoning Wu and Yixuan Li and Zicheng Zhang and Baoliang Chen and Lingyu Zhu and Yuming Fang and Guangtao Zhai and Weisi Lin and Shiqi Wang},
      year={2024},
      eprint={2405.19298},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

@inproceedings{chen2024robustsam,
  author = {Chen, Wei-Ting and Krishnan, Gurunandan and Gao, Qiang and Kuo, Sy-Yen and Ma, Sizhou and Wang, Jian},
  title = {DSL-FIQA: Assessing Facial Image Quality via Dual-Set Degradation Learning and Landmark-Guided Transformer},
  journal = {CVPR},
  issue_date = {2024}
}

@misc{guan2024qmamba,
      title={Q-Mamba: On First Exploration of Vision Mamba for Image Quality Assessment}, 
      author={Fengbin Guan and Xin Li and Zihao Yu and Yiting Lu and Zhibo Chen},
      year={2024},
      eprint={2406.09546},
      archivePrefix={arXiv},
}

@article{yun2024scaling,
      title={Scaling Up Personalized Aesthetic Assessment via Task Vector Customization}, 
      author={Jooyeol Yun and Jaegul Choo},
      year={2024},
      journal=ECCV,
}

@article{wu2023assessor360,
  title={Assessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessment},
  author={Wu, Tianhe and Shi, Shuwei and Cai, Haoming and Cao, Mingdeng and Xiao, Jing and Zheng, Yinqiang and Yang, Yujiu},
  journal=NeurIPS,
  year={2023}
}

@inproceedings{chen2024qground,
      title={Q-Ground: Image Quality Grounding with Large Multi-modality Models}, 
      author={Chaofeng Chen and Sensen Yang and Haoning Wu and Liang Liao and Zicheng Zhang and Annan Wang and Wenxiu Sun and Qiong Yan and Weisi Lin},
      Journal = {ACM International Conference on Multimedia},
      year={2024},
}

@misc{zhu2024esiqa,
    title={ESIQA: Perceptual Quality Assessment of Vision-Pro-based Egocentric Spatial Images},
    author={Xilei Zhu and Liu Yang and Huiyu Duan and Xiongkuo Min and Guangtao Zhai and Patrick Le Callet},
    year={2024},
    eprint={2407.21363},
    archivePrefix={arXiv},
    primaryClass={cs.CV}
}

@article{zhang2022perceptual,
  title={Perceptual attacks of no-reference image quality models with human-in-the-loop},
  author={Zhang, Weixia and Li, Dingquan and Min, Xiongkuo and Zhai, Guangtao and Guo, Guodong and Yang, Xiaokang and Ma, Kede},
  journal=NeurIPS,
  volume={35},
  pages={2916--2929},
  year={2022}
}

@misc{gushchin2024guardiansimagequalitybenchmarking,
      title={Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics}, 
      author={Alexander Gushchin and Khaled Abud and Georgii Bychkov and Ekaterina Shumitskaya and Anna Chistyakova and Sergey Lavrushkin and Bader Rasheed and Kirill Malyshev and Dmitriy Vatolin and Anastasia Antsiferova},
      year={2024},
      eprint={2408.01541},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2408.01541}, 
}

@article{AesExpert,
    title={AesExpert: Towards Multi-modality Foundation Model for Image Aesthetics Perception},
    author={Yipo Huang and Xiangfei Sheng and Zhichao Yang and Quan Yuan and Zhichao Duan and Pengfei Chen and Leida Li and Weisi Lin and Guangming Shi},
    journal=ACMMM,
    year={2024},
}

@article{zhang2024qbench+,
      title={Q-Bench+: A Benchmark for Multi-modal Foundation Models on Low-level Vision from Single Images to Pairs}, 
      author={Zicheng Zhang and Haoning Wu and Erli Zhang and Guangtao Zhai and Weisi Lin},
      journal=PAMI,
      year={2024},
}

@inproceedings{he2024ms-swd,
  title={Multiscale Sliced {Wasserstein} Distances as Perceptual Color Difference Measures},
  author={He, Jiaqi and Wang, Zhihua and Wang, Leon and Liu, Tsein-I and Fang, Yuming and Sun, Qilin and Ma, Kede},
  booktitle={European Conference on Computer Vision},
  pages={1--18},
  year={2024},
  url={http://arxiv.org/abs/2407.10181}
}

@inproceedings{chen2023learning,
title={Learning a Deep Color Difference Metric for Photographic Images},
author={Haoyu Chen, Zhihua Wang, Yang Yang, Qilin Sun, and Kede Ma},
booktitle=CVPR,
year={2023}
}

@inproceedings{richhf,
  title={Rich Human Feedback for Text-to-Image Generation},
  author={Youwei Liang and Junfeng He and Gang Li and Peizhao Li and Arseniy Klimovskiy and Nicholas Carolan and Jiao Sun and Jordi Pont-Tuset and Sarah Young and Feng Yang and Junjie Ke and Krishnamurthy Dj Dvijotham and Katie Collins and Yiwen Luo and Yang Li and Kai J Kohlhoff and Deepak Ramachandran and Vidhya Navalpakkam},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year={2024},
}

@inproceedings{shin2024blind,
  title={Blind Image Quality Assessment Based on Geometric Order Learning},
  author={Shin, Nyeong-Ho and Lee, Seon-Ho and Kim, Chang-Su},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year={2024}
}

@misc{chen2024seagullnoreferenceimagequality,
      title={SEAGULL: No-reference Image Quality Assessment for Regions of Interest via Vision-Language Instruction Tuning}, 
      author={Zewen Chen and Juan Wang and Wen Wang and Sunhan Xu and Hang Xiong and Yun Zeng and Jian Guo and Shuxun Wang and Chunfeng Yuan and Bing Li and Weiming Hu},
      year={2024},
      eprint={2411.10161},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2411.10161}, 
}

@InProceedings{kwon2024attiqa,
    author    = {Kwon, Daekyu and Kim, Dongyoung and Ki, Sehwan and Jo, Younghyun and Lee, Hyong-Euk and Kim, Seon Joo},
    title     = {ATTIQA: Generalizable Image Quality Feature Extractor using Attribute-aware Pretraining},
    booktitle = {Proceedings of the Asian Conference on Computer Vision (ACCV)},
    month     = {December},
    year      = {2024},
    pages     = {4526-4543}
}

@article{hosu2025image,
  title={Image Intrinsic Scale Assessment: Bridging the Gap Between Quality and Resolution},
  author={Hosu, Vlad and Agnolucci, Lorenzo and Iso, Daisuke and Saupe, Dietmar},
  journal={arXiv preprint arXiv:2502.06476},
  year={2025}
}

@article{li2025qinsight,
  title={Q-Insight: Understanding Image Quality via Visual Reinforcement Learning},
  author={Li, Weiqi and Zhang, Xuanyu and Zhao, Shijie and Zhang, Yabin and Li, Junlin and Zhang, Li and Zhang, Jian},
  journal={arXiv preprint arXiv:2503.22679},
  year={2025}
}

@Inproceedings{Behrad2025Charm,
  author    = {Fatemeh Behrad and Tinne Tuytelaars and Johan Wagemans},
  title     = {Charm: The Missing Piece in ViT fine-tuning for Image Aesthetic Assessment},
  booktitle = CVPR,
  year      = {2025},
}

@Inproceedings{çoğalan2024enhancing,
      title={Enhancing image quality prediction with self-supervised visual masking}, 
      author={Uğur Çoğalan and Mojtaba Bemana and Hans-Peter Seidel and Karol Myszkowski},
      year={2024},
      booktitle = {Eurographics},
}

@article{li2025next,
  title={Next Token Is Enough: Realistic Image Quality and Aesthetic Scoring with Multimodal Large Language Model},
  author={Li, Mingxing and Wang, Rui and Sun, Lei and Bai, Yancheng and Chu, Xiangxiang},
  journal={arXiv preprint arXiv:2503.06141},
  year={2025}
}

@article{chen2024groundingiqa,
  title={Grounding-IQA: Grounding Multimodal Language Model for Image Quality Assessment},
  author={Chen, Zheng and Zhang, Xun and Li, Wenbo and Pei, Renjing and Song, Fenglong and Min, Xiongkuo and Liu, Xiaohong and Yuan, Xin and Guo, Yong and Zhang, Yulun},
  journal={arXiv preprint arXiv:2411.17237},
  year={2024}
}
